Sunny Dahiya
About Sunny Dahiya
Sunny Dahiya is an Assistant Manager in Data Science with a background in Instrumentation and Control Engineering and Data Science and Business Analytics. He has experience in statistical analysis and machine learning, having worked on various projects across multiple organizations.
Current Role at The Smart Cube
Sunny Dahiya serves as an Assistant Manager in Data Science at The Smart Cube, a position he has held since 2021. In this role, he applies his expertise in data analysis and machine learning to derive actionable insights for various projects. His responsibilities include utilizing advanced statistical techniques to support business decisions and enhance operational efficiency.
Education and Expertise
Sunny Dahiya earned a Bachelor of Engineering in Instrumentation and Control Engineering from Netaji Subhas Institute of Technology, completing his studies from 2011 to 2015. He further advanced his education by obtaining a Post Graduate Diploma in Data Science and Business Analytics from The University of Texas at Austin, studying from 2020 to 2021. His academic background provides a solid foundation for his work in data science.
Professional Experience
Before joining The Smart Cube, Sunny Dahiya gained valuable experience in various roles. He worked as an Analyst at Barclays from 2015 to 2016 in the Noida Area, India. He also served as a Senior Data Analyst at Adda52.com from 2020 to 2021 in Gurgaon, Haryana, India. Additionally, he completed a Data Analyst Internship at the Indian Institute of Management, Calcutta in 2014 for two months.
Technical Skills and Methodologies
Sunny Dahiya possesses a range of technical skills relevant to data science. He is proficient in machine learning, SQL, Power BI, statistics, and Python. He employs advanced statistical and machine learning techniques, including descriptive statistics, correlation, regression, decision trees, and cluster analysis, to analyze data and provide insights.
Projects and Contributions
Throughout his career, Sunny Dahiya has worked on several significant projects. These include Australia Geo-marketing, Demand Forecasting, Market Basket Analysis, Credit Risk Analysis, and South Africa Clustering and Profiling. His involvement in these projects demonstrates his capability to apply data science techniques to real-world business challenges.